Analysis of determining the position of LPI targets by TDOA PSS

Kaczurova, Marketa; Hubacek, Petr; Kaczur, Martin

doi:10.23919/irs.2017.8008183

Cited by 1 publication

(2 citation statements)

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“…In the Hatch filter method, we use the sinc-LS results as the unambiguous TDE. The general value of SNR in short-baseline TDOA systems [13,39] is within the range from −9 dB to 25 dB. So, we set the SNR to begin from −10 dB.…”

Section: Anaylsis and Simulationsmentioning

confidence: 99%

“…Under such conditions, TDOA positioning accuracy is highly susceptible to TDOA measurements. To maintain the same localization performance compared with long-baseline TDOA, the requirements for TDOA measurements are more stringent [12,13]. To achieve high-precision TDOA positioning, three problems must be taken into consideration: high-precision relative positioning, high-precision time synchronization, and high-precision time delay estimation (TDE).…”

Section: Introductionmentioning

confidence: 99%

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High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement

Xin,

Ge,

Zhang

et al. 2024

Remote Sensing

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In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-precision time synchronization and TDOA measurement. We conducted a detailed analysis of error models in TDOA systems, considering both the time and phase measurement. We utilize the frequency division wireless phase synchronization technique in TDOA systems. Building upon this synchronization scheme, we propose a novel time delay estimation method that relies on phase measurements based on the integer least squares method. The performance of this method is demonstrated through Monte Carlo simulations and outdoor experiments. The standard deviations of synchronization and TDOA measurements in experiments are 1.12 ps and 1.66 ps, respectively. Furthermore, the circular error probable (CEP) accuracy is improved from 0.33%R to 0.02%R, offering support for the practical application of distributed short-baseline high-precision passive location techniques.

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Section: Anaylsis and Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%